The dual induction logging inversion based on improved genetic algorithm
BIE Kang1,2, XU Guan-You2, WAN Wen-Chun3, GUAN Wen-Zheng1,2, LIU Di-Ren1,2
1. Key Laboratory of Exploration Technologies for Oil and Gas Resources of Ministry of Education, Wuhan 430100, China;
2. College of Geophysics and Oil Resource, Yangtze University, Wuhan 430100, China;
3. No. 5 Oil Production Plant, Changqing Oilfield Company, PetroChina, Yulin 718600, China
For the reason that dual induction logging method will be affected by such factors as mud invasion and wall rocks, an improved genetic algorithm based on niche technology is proposed to perform inversion of virgin formation resistivity, invasion radius and other formation parameters. The multiple layered medium is set as model to conduct algorithm verification, The results can well reflect the formation parameters. With the actual dual induction logging data, the new interpretation drawn by the inversion of virgin formation resistivity is more close to the test data.
[1] 成志刚,孙宝佃,刘振华,等.高分辨率双侧向测井和双感应测井数据联合反演研究与应用[J].测井技术,2010,34(6):542-547.[2] 汪宏年,陶宏根,王桂萍,等.双感应测井资料的快速近似迭代反演[J].地球物理学报,2007,50(5):1614-1622.[3] 熊杰,刘彩云,邹长春.基于粒子群优化算法的感应测井反演[J].物探与化探,2013,37(6):1141-1145.[4] 汪宏年,陶宏根,王桂萍,等.双感应测井资料的快速近似迭代反演[J].地球物理学报,2007,50(5):1614-1622.[5] 王家映.地球物理资料非线性反演方法讲座(一)地球物理反演问题概述[J].工程地球物理学报,2007,4(1):1-3.[6] 敬荣中,鲍光淑,陈绍裘.地球物理联合反演研究综述[J].地球物理学进展,2003,18(3):535-540.[7] 邹长春,尉中良,柴细元,等.利用遗传算法实现最优化测井解释[J].测井技术,1999,23(5):361-365.[8] 张庚骥.电法测井[M].山东:石油大学出版社,1996.[9] 仵杰,庞巨丰,徐景硕.感应测井几何因子理论及其应用研究[J].测井技术,2001,25(6):417-422.[10] 胡澍.地球物理测井仪器[M].北京:石油工业出版社,1991.[11] 冯启宁,鞠晓东,柯式镇,等.测井仪器原理[M].北京:石油工业出版社,2010.[12] 杨慧珠,张世俊,杜祥.小生境遗传算法求解多峰问题在反演中应用[J].地球物理学进展,2001,16(2):35-41.[13] 班书昊,杨慧珠.小生境遗传算法在孔隙介质反演中的应用研究[J].石油勘探与开发,2005,32(2):78-81.[14] Horn J, Nafpliotis N, Goldberg D.A niched pareto genetic algorithm for multiobjective optimization[C]//Evolutionary Computation.IEEE World Congress on Computational Intelligence,Proceedings of the First IEEE Conference on.Orlando Florida:IEEE XPLORE,1994,82-8.[15] Srinvas M, Patnaik L M.Adaptive probabilities of crossover and mutation in genetic algorithms[C]//In:IEEE Trans on Systems,Man and Cybernetics,1994,24(4):656-667.[16] Eiben A E,Hinterding R,Michalewicz Z.Parameter control in evolutionary algorithms[J].IEEE Trans Evol Comput,1999,3:124-141.
